Study of dynamic decoupling method for multi-axis sensor based on niche genetic algorithm

  • Authors:

  • Ding Mingli;Dai Dongxue;Wang Qi

  • Affiliations:

  • Dept. of Automatic Test and Control, Harbin Institute of Technology, Harbin, China;Dept. of Automatic Test and Control, Harbin Institute of Technology, Harbin, China;Dept. of Automatic Test and Control, Harbin Institute of Technology, Harbin, China

  • Venue:
  • AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
  • Year:
  • 2006

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Abstract

The dynamic coupling of a multi-axis sensor is defined as a situation that the output signal of one direction includes the additional value, which affected by the input in other direction. Obviously, the dynamic coupling error will decrease the sensor measurement precision seriously. In this paper, a new multi-axis sensor dynamic decoupling method is proposed based on a niche genetic algorithm (NGA). The method first gets the calibration data of the multi-sensor, and then uses the system identification method and the niche genetic algorithm to calculate and optimize the decoupling network based on the analysis method of transform function matrix. In addition, it also can avoid the high precision requirement to the sensor model in the traditional dynamic decoupling method. Finally, the simulation results show the correctness and the affectivity of the proposed method.